Yu Sun

According to our database, Yu Sun authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models.

Xinyuan Liu, Jiahui Chen, Bocheng Hu, Yu Sun, Xinyang Chen, Shaoxu Song

CoRR, July, 2025

The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series.

Jingyu Zhu, Weiwei Deng, Yu Sun, Shaoxu Song, Haiwei Zhang, Xiaojie Yuan

Proc. ACM Manag. Data, June, 2025

Relational Data Cleaning Meets Artificial Intelligence: A Survey.

Jingyu Zhu, Xintong Zhao, Yu Sun, Shaoxu Song, Xiaojie Yuan

Data Sci. Eng., June, 2025

Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts.

Weiyang Zhang, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

Trans. Mach. Learn. Res., 2025

Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series.

Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

Trans. Mach. Learn. Res., 2025

Collaborative Imputation for Multivariate Time Series with Convergence Guarantee.

Yu Sun, Xinyu Yang, Shaoxu Song, Ying Zhang, Xiaojie Yuan

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales.

Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data.

Yu Sun, Jingyu Zhu, Xiao Xu, Xian Xu, Yuyao Sun, Shaoxu Song, Xiang Li, Xiaojie Yuan

Proc. VLDB Endow., July, 2024

From Minimum Change to Maximum Density: On Determining Near-Optimal S-Repair.

Yu Sun, Shaoxu Song, Xiaojie Yuan

IEEE Trans. Knowl. Data Eng., February, 2024

High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors.

Jingyu Zhu, Yu Sun, Shaoxu Song, Xiaojie Yuan

Proc. ACM Manag. Data, 2024

Frequency-aware Generative Models for Multivariate Time Series Imputation.

Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation.

Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen

Proceedings of the Database Systems for Advanced Applications, 2024

2023

STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training.

Zan Zong, Li Lin, Leilei Lin, Lijie Wen, Yu Sun

IEEE Trans. Parallel Distributed Syst., August, 2023

2022

Confidence Bounded Replica Currency Estimation.

Yu Sun, Zheng Zheng, Shaoxu Song, Fei Chiang

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

From Minimum Change to Maximum Density: On S-Repair under Integrity Constraints.

Yu Sun, Shaoxu Song

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Enriching Data Imputation under Similarity Rule Constraints.

Shaoxu Song, Yu Sun, Aoqian Zhang, Lei Chen, Jianmin Wang

IEEE Trans. Knowl. Data Eng., 2020

Learning Individual Models for Imputation (Technical Report).

Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang

CoRR, 2020

Imputing Various Incomplete Attributes via Distance Likelihood Maximization.

Shaoxu Song, Yu Sun

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Swapping Repair for Misplaced Attribute Values.

Yu Sun, Shaoxu Song, Chen Wang, Jianmin Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Learning Individual Models for Imputation.

Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019